Search Results for "db" - Page 3
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Showing 3024 open source projects for "db"
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Keystone
The most powerful headless CMS for Node.js
...Rapidly spec your backend with all the primitive and advanced field types you need. Add logic, access control, and custom queries & mutations to create an API that's unique to your app. Automatic db migrations with Prisma -
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Audiomentations
A Python library for audio data augmentation
A Python library for audio data augmentation. Inspired by albumentations. Useful for deep learning. Runs on CPU. Supports mono audio and multichannel audio. Can be integrated in training pipelines in e.g. Tensorflow/Keras or Pytorch. Has helped people get world-class results in Kaggle competitions. Is used by companies making next-generation audio products. Mix in another sound, e.g. a background noise. Useful if your original sound is clean and you want to simulate an environment where... -
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OSV.dev
Open source vulnerability DB and triage service
osv.dev (Open Source Vulnerabilities) is Google’s open source platform and API for aggregating, managing, and analyzing vulnerability data across multiple ecosystems. It powers the osv.dev website, providing a unified, queryable database of vulnerabilities that map directly to open source packages and versions. The system hosts vulnerability data for ecosystems such as PyPI, npm, Go, Maven, and Debian, among others. The platform includes a web UI, API, and a Go-based dependency scanner... -
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Marten
.NET Transactional Document DB and Event Store on PostgreSQL
The Marten library provides .NET developers with the ability to use the proven PostgreSQL database engine and its fantastic JSON support as a fully-fledged document database. The Marten team believes that a document database has far-reaching benefits for developer productivity over relational databases with or without an ORM tool. Marten also provides .NET developers with an ACID-compliant event store with user-defined projections against event streams. Use proven PostgreSQL database engine,... -
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Hasura GraphQL Engine
Blazing fast, instant realtime GraphQL APIs on your DB
Hasura is an open-source product that accelerates API development by 10x by giving you GraphQL or REST APIs with built-in authorization on your data, instantly. Run Hasura, locally or in the cloud, and connect it to your new or existing databases to instantly get a production-grade GraphQL API. Developers and architects love Hasura because it takes no time to get started, doesn’t need them to be a GraphQL expert upfront, and saves their teams months of recurring effort in building, shipping,... -
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Apache Airflow Provider
Great Expectations Airflow operator
...If your Airflow version is 2.1.0, and you want to install this provider version, first upgrade Airflow to at least version 2.1.0. Otherwise, your Airflow package version will be upgraded automatically, and you will have to manually run airflow upgrade db to complete the migration. This operator currently works with the Great Expectations V3 Batch Request API only. If you would like to use the operator in conjunction with the V2 Batch Kwargs API, you must use a version below 0.1.0. This operator uses Great Expectations Checkpoints instead of the former ValidationOperators. Because of the above, this operator requires Great Expectations >=v0.13.9, which is pinned in the requirements.txt starting with release 0.0.5. -
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node-pg-migrate
Node.js database migration management for Postgresql
...Add "migrate": "node-pg-migrate" to scripts section of package.json so you are able to quickly run commands. Run npm run migrate create my first migration. It will create file xxx_my-first-migration.js in migrations folder. Now you should put your DB connection string to DATABASE_URL environment variable and run npm run migrate up. (e.g. DATABASE_URL=postgres://test:test@localhost:5432/test npm run migrate up). -
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redshift_connector
Amazon Redshift connector for Python
...Easy integration with pandas and numpy, as well as support for numerous Amazon Redshift-specific features help you get the most out of your data. redshift_connector integrates with various open-source projects to provide an interface to Amazon Redshift. Please open an issue with our project to request new integrations or get support for a redshift_connector issue seen in an existing integration. Following the DB-API specification, autocommit is off by default. It can be turned on by using the autocommit property of the connection. The paramstyle for a cursor can be modified via cursor.paramstyle. The default paramstyle used is format. Valid values for paramstyle include qmark, numeric, named, format, pyformat. redshift_connector uses logging for providing detailed error messages regarding IdP authentication. ... -
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TinyDB
Document oriented database optimized for you
TinyDB is a lightweight document oriented database optimized for your happiness :) It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. The current source code has 1800 lines of code (with about 40% documentation) and 1600 lines tests. Like MongoDB, you can store any document (represented as dict) in TinyDB. TinyDB is designed to be simple and fun to use by providing a simple and clean API. TinyDB neither needs an external server (as e.g. ... -
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Zvec
A lightweight, lightning-fast, in-process vector database
Zvec is an open-source, lightweight, in-process vector database designed to embed directly into applications and serve fast similarity search workloads without the overhead of a separate server process. Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems. Zvec excels at approximate nearest neighbor search and... -
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TailwindSQL
TailwindSQL lets you write SQL queries using Tailwind-style class name
TailwindSQL is an experimental library that lets developers write SQL queries using Tailwind-style class names, essentially turning database queries into declarative class attributes that can be used directly in frameworks like React Server Components. Inspired by the simplicity and utility of Tailwind CSS, TailwindSQL allows developers to describe database queries using a familiar syntax such as db-table-column-where-field-value, collapsing traditional SQL into readable, utility-driven structures that map directly to data fetches. When used in React Server Components, these class-style queries are parsed and executed at render time with zero client-side JavaScript, letting you fetch and render data without writing SQL strings explicitly. ... -
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Rules Engine
A Json based Rules Engine with extensive Dynamic expression support
...It provides a simple way of giving you the ability to put your rules in a store outside the core logic of the system, thus ensuring that any change in rules don't affect the core system. You need to store the rules based on the schema definition given and they can be stored in any store as deemed appropriate like Azure Blob Storage, Cosmos DB, Azure App Configuration, Entity Framework, SQL Servers, file systems, etc. For RuleExpressionType LamdaExpression, the rule is written as a lambda expression. Consuming Entity Framework and populating the Rules Engine is shown in the EFDemo class with Workflow rules populating the array and passed to the Rules Engine, The Demo App includes an example RulesEngineDemoContext. -
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Testcontainers
A library to support tests with throwaway instances of Docker
...Use a containerized instance of a MySQL, PostgreSQL or Oracle database to test your data access layer code for complete compatibility, but without requiring complex setup on developers' machines and safe in the knowledge that your tests will always start with a known DB state. Any other database type that can be containerized can also be used. For running your application in a short-lived test mode with dependencies, such as databases, message queues or web servers. Use containerized web browsers, compatible with Selenium, for conducting automated UI tests. Each test can get a fresh instance of the browser, with no browser state, plugin variations or automated browser upgrades to worry about. ... -
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure.... -
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ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch,... -
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DBHub
Universal database MCP server connecting to MySQL, PostgreSQL
...A demo mode ships with an in-memory SQLite “employee” dataset so users can try the tools immediately without provisioning a database. The project lives in the Bytebase org alongside database DevSecOps tooling, underscoring a production focus on safe and auditable DB interaction. -
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WTForms
A flexible forms validation and rendering library for Python
WTForms is a flexible forms validation and rendering library for Python web development. It can work with whatever web framework and template engine you choose. It supports data validation, CSRF protection, internationalization (I18N), and more. There are various community libraries that provide closer integration with popular frameworks. WTForms is designed to work with any web framework and template engine. There are a number of community-provided libraries that make integrating with... -
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Testcontainers Java
Testcontainers is a Java library that supports JUnit tests
...Use a containerized instance of a MySQL, PostgreSQL or Oracle database to test your data access layer code for complete compatibility, but without requiring complex setup on developers' machines and safe in the knowledge that your tests will always start with a known DB state. Any other database type that can be containerized can also be used. For running your application in a short-lived test mode with dependencies, such as databases, message queues or web servers. Use containerized web browsers, compatible with Selenium, for conducting automated UI tests. Each test can get a fresh instance of the browser, with no browser state, plugin variations or automated browser upgrades to worry about. ... -
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gomodifytags
Go tool to modify struct field tags
Go tool to modify/update field tags in structs. gomodifytags makes it easy to update, add or delete the tags in a struct field. You can easily add new tags, update existing tags (such as appending a new key, i.e: db, xml, etc..) or remove existing tags. It also allows you to add and remove tag options. It's intended to be used by an editor, but also has modes to run it from the terminal. Read the usage section below for more information. This accepts the struct name. i.e: -struct Server. The name should be a valid type name. The -struct flag selects the whole struct, and thus it will operate on all fields. ... -
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nodejs-integration-tests-best-practices
Beyond the basics of Node.js testing
Component/integration test is a hybrid between E2E and unit tets. It's gaining a lot of popularity and going by the testing diamond model it is considered as the default technique for the modern backend. Its main idea is testing an entire component (e.g., Microservice) as-is, through the API, with all the layers including the database but fake anything extraneous. This brings both high confidence and great developer experience. However, doing it right, fast, exhaustive and maximizing the... -
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Vearch
A distributed system for embedding-based vector retrieval
...This GIF provides a clear demonstration of the project vearch usage and its internal structure. The use of vearch is mainly divided into three steps. Firstly, create DB and Space, then import your data, and finally, you can search on your own dataset. -
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Ebean
Ebean ORM
Ebean provides multiple levels of query abstraction ORM Queries, mixed with SQL, DTO Queries, SqlQuery and JDBC. Work at the highest level of abstraction and drop down levels as needed. Built in DB migration generation and running. Support for "rebase" migrations as well as repeatable, init and 'normal' migrations. Ebean produces SQL that you would hand craft yourself. Use great SQL, never generate SQL cartesian product, always honor relational limit/offset. For ORM queries Ebean can profile the object graph being used and either automatically tune the query. ... -
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Leto is a multiplatform database server or a database management system, chiefly intended for client programs, written on Harbour, be able to work with dbf/cdx files, located on a remote server.
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Apache Seata
High-performance, open source distributed transaction solution
Seata is a distributed transaction solution for microservices that provides consistent, cross-service commits without forcing every team to adopt the same persistence model. Its architecture separates responsibilities into a global coordinator and per-service participants, so business services remain decoupled while transactions are orchestrated centrally. Multiple modes are supported—AT (automatic, SQL-based with undo logs), TCC (try-confirm-cancel), Saga (long-running compensation), and... -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
...Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.
